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Studying Complex Adaptive Systems
查看参考文献13篇
文摘
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Complex adaptive systems (cas) – systems that involve many components that adapt or learn as they interact – are at the heart of important contemporary problems. The study of cas poses unique challenges: Some of our most powerful mathematical tools, particularly methods involving fixed points, attractors, and the like, are of limited help in understanding the development of cas. This paper suggests ways to modify research methods and tools, with an emphasis on the role of computer-based models, to increase our understanding of cas. |
来源
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Journal of Systems Science and Complexity
,2006,19(1):1-8 【核心库】
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DOI
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10.1007/s11424-006-0001-z
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关键词
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Agent-based systems
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classifier systems
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complex adaptive systems
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computer-based models
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credit assignment
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genetic algorithms
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parallelism
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rule discovery
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signal-passing
;
tags
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地址
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Department of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, 1301 Beal Avenue, Ann Arbor, USA
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语种
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英文 |
文献类型
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研究性论文 |
ISSN
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1009-6124 |
学科
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数学 |
文献收藏号
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CSCD:2658853
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13
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